GEAK: Speed Up AI Model Kernels for Faster GPU Performance
From the repo · “Generating Efficient AI-Centric Kernels”
GEAK generates efficient AI-centric kernels for founders using Python and AI to optimize their machine learning models
- •When you need to optimize your AI model's performance on a specific hardware
- •When you want to reduce the energy consumption of your AI model
- •When you need to deploy your AI model on a edge device with limited resources
python geak.py --config config.json --input-shape 224 224 3 --output-shape 1000 --model resnet50
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/geak && curl -fsSL https://workflowstacks.com/api/skills/geak/claude-skill -o ~/.claude/skills/geak/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
What's inside — free to inspect
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/geak && curl -fsSL https://workflowstacks.com/api/skills/geak/claude-skill -o ~/.claude/skills/geak/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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